• Abhay N Gaikwad

In this paper, a technique for significant improvement in detection of breathing signal of a human being hidden behind brick-wall has been developed. Presence of clutter due to strong reflections is a problem in detection of breathing signal. The reflected signal from the target might be completely overridden by clutter and thus it requires to be reduced. Singular value decomposition (SVD) is proposed to reduce clutter and strengthen the target signal. Experimental setup based on Step Frequency Continuous wave (SFCW) radar system in ultra wideband (UWB) frequency range has been used. It is observed from the experimental results that after application of clutter reduction technique, there is a significant improvement in the target signal strength and also in detection and extraction of the breathing signal.

Fast Fourier Transform (FFT), Life sign, Step Frequency Continuous Wave (SFCW) radar, Singular Value Decomposition (SVD).

"Improved Detection and Extraction of Human Life Sign Hidden Behind the Brick Wall Using Stepped-Frequency Continuous Wave Radar ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 9, page no.471-480, September-2018, Available :http://www.jetir.org/papers/JETIR1809097.pdf

"Improved Detection and Extraction of Human Life Sign Hidden Behind the Brick Wall Using Stepped-Frequency Continuous Wave Radar ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 9, page no. pp471-480, September-2018, Available at : http://www.jetir.org/papers/JETIR1809097.pdf